[
Omnisco... Reviews
](https://www.g2.com/products/omniscope-evo/reviews)

[
Omnisco... Reviews
](https://www.g2.com/products/omniscope-evo/reviews)

# Omniscope Evo Features

##### 
## Reports (8)

Reports Interface

Reports interface for standard and self-service reports is intuitive and easy to use.

Steps to Answer

Requires a minimal number of steps/clicks to answer business question.

Graphs and Charts

Offers a variety of attractive graph and chart formats.

Score Cards

Score cards visually track KPI's.

Dashboards

Provides business users an interface to easily design, refine and collaborate on their dashboards

Reports Interface

Reports interface for standard and self-service reports is intuitive and easy to use.

Share Reports

Receive email reports and notifications regarding metrics.

Steps to Answer

Requires a minimal number of steps/clicks to answer business question.

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##### 
## Self Service (6)

Calculated Fields

Using formulas based on existing data elements, users can create and calculate new field values.

Data Column Filtering

Business users have the ability to filter data in a report based on predefined or automodeled parameters.

Data Discovery

Users can drill down and explore data to discover new insights.

Search

Ability to search global data set to find and discover data.

Collaboration / Workflow

Ability for users to share data and reports they have built within the BI tool and outside the tool through other collaboration platforms.

Automodeling

Tool automatically suggests data types, schemas and hierarchies.

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##### 
## Advanced Analytics (3)

Predictive Analytics

Analyze current and historical trends to make predictions about future events.

Data Visualization

Communicate complex information clearly and effectively through advanced graphical techniques.

Big Data Services

Ability to handle large, complex, and/or siloed data sets.

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##### 
## Building Reports (4)

Data Transformation

Converts data formats of source data into the format required for the reporting system without mistakes.

Data Modeling

Ability to (re)structure data in a manner that allows extracting insights fast and accurate.

WYSIWYG Report Design

Provides business users an interface to easily design and refine their dashboards and reports. (What You See Is What You Get)

Integration APIs

Application Programming Interface - Specification for how the application communicates with other software. API's typically enable integration of data, logic, objects, etc with other software applications.

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##### 
## Data Updates (5)

Historical Snapshots

Ability to track historical data.

Real-Time Updating

Track metrics in real time with consistent and frequent updates.

Email Reports

Receive email reports and notifications regarding metric.

Historical Snapshots

Ability to track historical data.

Real-Time Updating

Track metrics in real time with consistent and frequent updates.

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##### 
## Data Transformation (2)

Real-Time Analytics

Facilitates analysis of high-volume, real-time data.

Data Querying

Allows user to query data through query languages like SQL.

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##### 
## Connectivity (4)

Hadoop Integration

Aligns processing and distribution workflows on top of Apache Hadoop

Spark Integration

Aligns processing and distribution workflows on top of Apache Spark

Multi-Source Analysis

Integrates data from multiple external databases.

Data Lake

Facilitates the dissemination of collected big data throughout parallel computing clusters.

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##### 
## Operations (4)

Data Visualization

Processes data and represents interpretations in a variety of graphic formats.

Data Workflow

Strings together specific functions and datasets to automate analytics iterations.

Governed Discovery

Isolates certain datasets and facilitates management of data access.

Embedded Analytics

Allows big data tool to run and record data within external applications.

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##### 
## Data Source Access (3)

Breadth of Data Sources

Provides a wide range of possible data connections, including cloud applications, on-premise databases, and big data distributions, among others

Ease of Data Connectivity

Allows businesses to easily connect to any data source

API Connectivity

Offers API connections for cloud-based applications and data sources

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##### 
## Data Interaction (8)

Profiling and Classification

Permits profiling of data sets for increased organization, both by users and machine learning

Metadata Management

Indexes metadata descriptions for easier searching and enhanced insights

Data Modeling

Tools to (re)structure data in a manner that enables quick and accurate insight extraction

Data Joining

Allows self-service joining of tables

Data Blending

Provides the ability to combine data sources into one data set

Data Quality and Cleansing

Allows users and administrators to easily clean data to maintain quality and integrity

Data Sharing

Offers collaborative functionality for sharing queries and data sets

Data Governance

Ensures user access management, data lineage, and data encryption

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##### 
## Data Exporting (3)

Breadth of Integrations

Provides a wide range of possible integrations, including analytics, data integration, master data management, and data science tools

Ease of Integrations

Allows businesses to easily integrate with analytics, data integration, master data management, and data science tools

Data Workflows

Operationalizes data workflows to easily scale repeatable preparation needs

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##### 
## Management (2)

Reporting

View ETL process data via reports and visualizations like charts and graphs.

Auditing

Record ETL historical data for auditing and potential data correction needs.

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##### 
## Functionality (5)

Extraction

Extract data from the designated source(s) like relational databases, JSON files, and XML files.

Transformation

Cleanse and re-format extracted data to the needed target format.

Loading

Load reformatted data into target database, data warehouse, or other storage location.

Automation

Arrange ETL processes to occur automatically on needed time schedule (e.g., daily, weekly, monthly).

Scalability

Capable of scaling processing power up or down based on ETL volume.

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##### 
## Data Preparation (2)

Connectors

Ability to connect the analytics platform with a wide range of connector options for common data sources, including popular enterprise applications.

Data Governance

Connects to enterprise data governance software, or provides integrated data governance features to avoid misuse of data

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##### 
## Data Modeling and Blending (3)

Data Querying

Using formulas based on existing data elements, users can create and calculate new field values

Data Filtering

Business users have the ability to filter data in a report based on predefined or automodeled parameters.

Data Blending

Allows the user to combine data from multiple sources into a functioning dataset.

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##### 
## Visualization (4)

Graphs and Charts

Offers a variety of attractive graph and chart formats.

Score Cards

Score cards visually track KPI's.

Dashboards

Provides business users an interface to easily design, refine and collaborate on their dashboards

Formats

Allows one to create and export visualization into various formats (PNG, JPEG, etc.)

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##### 
## Collaboration (3)

Sharing

Provides the ability to easily share visualizations.

Co-Editing

Allows multiple users to edit and create visualizations together.

Devices

Has the ability to edit visualization across devices and device types (e.g. computer and phone).

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##### 
## Generative AI (5)

AI Text Generation

Allows users to generate text based on a text prompt.

AI Text Summarization

Condenses long documents or text into a brief summary.

AI Text Generation

Allows users to generate text based on a text prompt.

AI Text Summarization

Condenses long documents or text into a brief summary.

AI Text Generation

Allows users to generate text based on a text prompt.

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##### 
## Agentic AI - Analytics Platforms (7)

Autonomous Task Execution

Capability to perform complex tasks without constant human input

Multi-step Planning

Ability to break down and plan multi-step processes

Cross-system Integration

Works across multiple software systems or databases

Adaptive Learning

Improves performance based on feedback and experience

Natural Language Interaction

Engages in human-like conversation for task delegation

Proactive Assistance

Anticipates needs and offers suggestions without prompting

Decision Making

Makes informed choices based on available data and objectives

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##### 
## Deployment & Integration - Analytics Platforms (4)

No-code Dashboard Builder

Enables non-technical users to build dashboards through intuitive, drag-and-drop interfaces

Report Scheduling and Automation

Enables automated report generation and scheduled delivery to stakeholders

Embedded Analytics and White-labeling

Allows dashboards and analytics to be embedded into external apps with branding flexibility

Data Source Connectivity

Supports integration with major data sources like cloud data warehouses, SQL/NoSQL databases, and SaaS applications

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##### 
## Performance & Scalability - Analytics Platforms (2)

Large data handling and Query Speed

Efficiently processes large datasets with minimal lag and ensures high performance under load

Concurrent User Support

Maintains performance and uptime during high traffic from multiple users or teams

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##### 
## Advanced Analytics & Modeling - Analytics Platforms (3)

Data Modeling and Governance

Supports semantic data layers, role-based access controls, and metadata governance

Notebook and Script Integration

Integrates with Jupyter, Python, or R for custom analytics and modeling

Built-in Predictive and Statistical Models

Provides native tools for statistical analysis, forecasting, and trend prediction

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##### 
## Agentic AI Capabilities - Analytics Platforms (4)

Auto-generated Insights and Narratives

Uses AI to generate textual summaries, key takeaways, and data stories from dashboards

Natural Language Queries

Allows users to query data and build reports using conversational or plain language

Proactive KPI Monitoring and Alerts

Detects and notifies users about KPI anomalies or significant metric changes in real time

AI Agents for Analytical Follow-ups

Recommends next questions, analyses, or exploration paths using autonomous AI agents

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##### 
## Personalized Intelligence - Analytics Platforms (3)

Behavioral Learning for Contextual Query Refinement

Learns from historical user interactions to improve and personalize query results over time

Role-based Insight Personalization

Tailors dashboard views and suggestions based on user roles, access levels, and past behavior

Conversational and Prompt-based Analytics

Supports AI-driven exploration via prompts or multi-turn conversations for iterative querying

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4.3/5

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Omniscope Evo Comparisons

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##### Categories on G2

[
Analytics Platforms
](https://www.g2.com/categories/analytics-platforms)[
Data Visualization
](https://www.g2.com/categories/data-visualization-tools)[
ETL Tools
](https://www.g2.com/categories/etl-tools)

[
Embedded Business Intelligence
](https://www.g2.com/categories/embedded-business-intelligence)[
Data Preparation
](https://www.g2.com/categories/data-preparation)[
Big Data Analytics
](https://www.g2.com/categories/big-data-analytics)

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